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Multi-target combustion optimization method based on data-driven fusion strategy

A combustion optimization, multi-objective technology, applied in data processing applications, instruments, prediction, etc., can solve problems that have not been reported

Pending Publication Date: 2020-05-26
TIANJIN VOCATIONAL INST
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Problems solved by technology

At present, the multi-objective combustion optimization based on data-driven fusion strategy has not been reported in theoretical research and practical application.

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  • Multi-target combustion optimization method based on data-driven fusion strategy
  • Multi-target combustion optimization method based on data-driven fusion strategy
  • Multi-target combustion optimization method based on data-driven fusion strategy

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Embodiment Construction

[0049] The technical solutions of the present invention will be further described below in conjunction with specific embodiments.

[0050] A multi-objective combustion optimization method based on a data-driven fusion strategy, comprising the following steps:

[0051] Step 1, resampling the massive historical operating data of the DCS database at a period of N minutes (N greater than 0 and less than 100) to obtain a resampling data set, wherein the massive historical operating data of the DCS database includes: data of operating variables, The data of the performance variable and the data of the operating condition variable; in this embodiment, N is 1.

[0052] In the step 1, the operating variables include 16 operating variables of the secondary air system of the boiler, specifically as shown in Table 1, and the performance variables include NO x Emissions and boiler efficiency, as shown in Table 2, the operating condition variables include unit load and coal quality, where ...

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Abstract

The invention discloses a multi-target combustion optimization method based on a data-driven fusion strategy. The method comprises the following steps: resampling massive historical operation data ofthe DCS database; performing steady-state detection on the unit load and the coal quality coefficient in the resampling data set; obtaining all time intervals in which the unit load and the coal quality coefficient are in a steady state, wherein the data of each time interval is a steady-state data set; after judgment, enabling each steady-state data set to form a clean data set, combining all theclean data sets to obtain a data set Z0, performing clustering division on unit loads and coal quality coefficients in the data set Z0 to obtain a plurality of working condition partitions, obtaininga combustion optimization rule base and a combustion optimization model base, and applying a strategy 1 and a strategy 2 in the same time. According to the method, the defects of a single data driving strategy are overcome, the influence of real-time working conditions on optimization is comprehensively considered, and the requirements of a coal-fired power plant for real-time performance and effectiveness of multi-target combustion optimization are practically met.

Description

technical field [0001] The invention belongs to the technical field of multi-objective combustion optimization of coal-fired power plant boilers, and in particular relates to a multi-objective combustion optimization method based on a data-driven fusion strategy. Background technique [0002] With the reform of China's electricity market and the enhancement of environmental protection awareness, large coal-fired power plant boilers must improve combustion economy on the one hand, and reduce pollutant emissions on the other hand. Therefore, the combustion optimization problem of coal-fired power plant boilers is actually a multi-objective optimization problem to reduce pollutant emissions and increase boiler efficiency. Unlike single-objective problems, multi-objectives are often interrelated and contradictory, improving boiler efficiency and reducing NO x This is the case with emissions. Therefore, to solve the multi-objective optimization problem is to find a better solut...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 郑伟向润阳肖思楠安海霞卫俊玲
Owner TIANJIN VOCATIONAL INST
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